论文

截止2022年底，中心发表期刊和会议论文共计500余篇，其中包括SCI收录406篇，中科院一区论文310篇，JCR1区论文125篇。

部分代表性期刊论文

  • Xingye Chen, Wenxiao Wu, Li Ma, Xinge You, Changxin Gao, Nong Sang, Yuanjie Shao: Exploring sample relationship for few-shot classification. Pattern Recognit, 2025.
  • Zimin Mao, Shuiyan Chen, Zhuang Miao, Heng Li, Beihao Xia, Junzhe Cai, Wei Yuan, Xinge You: Enhancing robustness of person detection: A universal defense filter against adversarial patch attacks. Comput. Secur, 2024.
  • Zimin Mao, Shuiyan Chen, Zhuang Miao, Heng Li, Beihao Xia, Junzhe Cai, Wei Yuan, Xinge You: Enhancing robustness of person detection: A universal defense filter against adversarial patch attacks. Computers & Security, 2024.
  • Liheng Yuan, Fanghua Ye, Wei Zhou, Wei Yuan, Xinge You: Concept drift adaptation with scarce labels：A novel approach based on diffusion and adversarial learning. Eng. Appl. Artif. Intell, 2024.
  • Liheng Yuan, Fanghua Ye, Heng Li, Chenhao Zhang, Cuiying Gao, Chengqing Yu, Wei Yuan, Xinge You: Semi-supervised anomaly detection with contamination-resilience and incremental training. Eng. Appl. Artif. Intell, 2024.
  • Liheng Yuan, Fanghua Ye, Heng Li, Chenhao Zhang, Cuiying Gao, Chengqing Yu, Wei Yuan∗, Xinge You: Semi-supervised Anomaly Detection with Contamination-resilience and Incremental Training. Engineering Applications of Artificial Intelligence, 2024.
  • Liheng Yuan, Fanghua Ye, Wei Zhou, Wei Yuan*, Xinge You: Concept Drift Adaptation with Scarce Labels: A Novel Approach Based on Diffusion and Adversarial Learning. Engineering Applications of Artificial Intelligence, 2024.
  • Sichao Fu, Qiong Cao, Yunwen Lei, Yujie Zhong, Yibing Zhan, Xinge You: Few-Shot Learning With Dynamic Graph Structure Preserving. IEEE Trans. Ind. Informatics, 2024.
  • Shuo Ye, Shujian Yu, Yu Wang, Xinge You: R2-trans: Fine-grained visual categorization with redundancy reduction. Image Vis. Comput, 2024.
  • Zhimeng Xin, Shiming Chen, Tianxu Wu, Yuanjie Shao, Weiping Ding, Xinge You: Few-shot object detection: Research advances and challenges. Inf. Fusion, 2024.
  • Jiawen Gong, Bin Zou, Chen Xu, Jie Xu, Xinge You: Hybrid learning based on Fisher linear discriminant. Inf. Sci. 667, 2024.
  • Hui Li, Jiawen Li, Hai Liu, Tingting Liu, Qiang Chen, Xinge You: MelTrans: Mel-Spectrogram Relationship-Learning for Speech Emotion Recognition via Transformers. Sensors, 2024.
  • Chuanwu Yang, Zhihui Tian, Xinge You, Kang Jia, Tong Liu, Zhibin Pan, Vijay John: Polylanenet++：enhancing the polynomial regression lane detection based on spatio-temporal fusion. Signal Image Video Process, 2024.
  • 李珩, 吴棒, 龚柱, 高翠莹, 袁巍*, 罗夏朴: 安卓恶意软件对抗样本攻击方法综述. 软件学报, 2024.
  • Shuo Ye, Shujian Yu, Wenjin Hou, Yu Wang, Xinge You.Coping with change: Learning invariant and minimum sufficient representations for fine-grained visual categorization. Computer Vision and Image Understanding, 2023.
  • Chenhao Zhang, Shuijun Yin, Heng Li, Minghui Cai, Wei Yuan*: Detecting Android Malware With Pre-Existing Image Classification Neural Networks. IEEE Signal Processing Letters, 2023.
  • Shiming Chen, Peng Zhang, Guo-Sen Xie, Qinmu Peng, Zehong Cao, Wei Yuan, Xinge You: Kernelized Similarity Learning and Embedding for Dynamic Texture Synthesis. IEEE Trans. Syst. Man Cybern. Syst, 2023.
  • S. Ye, Y. Wang, Q. Peng, et al.: The Image Data and Backbone in Weakly Supervised Fine-Grained Visual Categorization: A Revisit and Further Thinking. IEEE Transactions on Circuits and Systems for Video Technology, 2023.
  • Litao Qiao, Bang Wu, Shuijun Yin, Heng Li, Wei Yuan*, Xiapu Luo: Resisting DNN-based Website Fingerprinting Attacks Enhanced by Adversarial Training. IEEE Transactions on Information Forensics and Security, 2023.
  • Cuiying Gao, Minghui Cai, Shuijun Yin, Gaozhun Huang, Heng Li, Wei Yuan*, Xiapu Luo: Obfuscation-resilient Android Malware Analysis Based on Complementary Features. IEEE Transactions on Information Forensics and Security, 2023.
  • Zhengqiang Zhang; Qinmu Peng; Sichao Fu; Wenjie Wang; Yiu-Ming Cheung; Yue Zhao; Shujian Yu; Xinge You: A Componentwise Approach to Weakly Supervised Semantic Segmentation Using Dual-Feedback Network. IEEE Transactions on Neural Networks and Learning Systems, 2023.
  • Zhixiong Pi, Yuanjie Shao, Changxin Gao, Nong Sang: Instance-Based Feature Pyramid for Visual Object Tracking. IEEE Trans. Circuits Syst. Video Technol, 2022.
  • Yufeng Shi, Yue Zhao, Xin Liu, Feng Zheng, Weihua Ou, Xinge You, Qinmu Peng: Deep Adaptively-Enhanced Hashing with Discriminative Similarity Guidance for Unsupervised Cross-modal Retrieval. IEEE Transactions on Circuits and Systems for Video Technology, 2022.
  • Ye S, Peng Q, Sun W, et al: Discriminative Suprasphere Embedding for Fine-Grained Visual Categorization. IEEE Transactions on Neural Networks and Learning Systems, 2022.
  • Shiming Chen, Ziming Hong, Guo-sen Xie, Qinmu Peng, Xinge You, Weiping Ding, Ling Shao: GNDAN: Graph Navigated Dual Attention Network for Zero-Shot Learning. IEEE Transactions on Neural Networks and Learning Systems, 2022.
  • Zhengqiang Zhang, Qinmu Peng*, Sichao Fu, Wenjie Wang, Yiu-ming Cheung, Yue Zhao,Shujian Yu, and Xinge You: A Componentwise Approach to Weakly-Supervised Semantic Segmentation Using Dual Feedback Network. IEEE Transactions on Neural Networks and Learning Systems, 2022.
  • Shiming Chen, Ziming Hong, Wenjin Hou, Guo-Sen Xie, Yibing Song, Jian Zhao, Xinge You, Shuicheng Yan, Ling Shao: TransZero++: Cross Attribute-guided Transformer for Zero-Shot Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022.
  • Sichao Fu, Senlin Wang, Weifeng Liu, Baodi Liu, Bin Zhou, Xinhua You, Qinmu Peng, Xiao-Yuan Jing: Adaptive graph convolutional collaboration networks for semi-supervised classification. Inf. Sci, 2022.
  • Haitham Issa, Qinmu Peng, Sali Issa, Xinge You, Ruijiao Peng, Jing Wang: Person-Independent Emotion and Gender Prediction (EGP) System Using EEG Signals. Int. Arab J. Inf. Technol, 2022.
  • Qi Zheng, Mingming Gong, Xinge You, Dacheng Tao: A Unified B-Spline Framework for Scale-Invariant Keypoint Detection. Int. J. Comput. Vis, 2022.
  • Qi Zheng, Mingming Gong, Xinge You, Dacheng Tao: A Unified B-Spline Framework for Scale-Invariant Keypoint Detection. International Journal of Computer Vision, 2022.
  • Sichao Fu, Baodi Liu, Weifeng Liu, Bin Zou, Xinhua You, Qinmu Peng, Xiao-Yuan Jing: Adaptive Multi-scale Transductive Information Propagation for Few-shot Learning. Knowledge-Based Systems, 2022.
  • Zhan Wang, Ting Liang, Bin Zou, Yaling Cai, Jie Xu, Xinge You: Incremental Fisher linear discriminant based on data denoising. Knowledge-Based Systems, 2022.
  • Yufeng Shi, Xinge You, Yue Zhao, Jiamiao Xu, Weihua Ou, Feng Zheng, Qinmu Peng: PSIDP: Unsupervised deep hashing with pretrained semantic information distillation and preservation. Neurocomputing, 2022.
  • Zichao Hu, Heng Li, Liheng Yuan, Zhang Cheng, Wei Yuan*, Ming Zhu: Model Scheduling and Sample Selection for Ensemble Adversarial Example Attacks. Pattern Recognition, 2022.
  • Beihao Xia,Conghao Wong, Qinmu Peng, Wei Yuan, Xinge You: CSCNet: Contextual Semantic Consistency Network for Trajectory Prediction in Crowded Spaces. Pattern Recognition, 2022.

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部分代表性会议论文

  • Heng Li, Zhiyuan Yao, Bang Wu, Cuiying Gao, Teng Xu, Wei Yuan*, Xiapu Luo: Automated Malware Assembly Line：Uniting Piggybacking and Adversarial Example in Android Malware Generation. NDSS, 2025.
  • Gao Cuiying, Yueming Wu, Heng Li, Wei Yuan*, Haoyu Jiang, Yang Liu: Uncovering and Mitigating the Impact of Code Obfuscation on  Dataset Annotation with Antivirus Engines. ISSTA, 2024.
  • Litao Qiao , Bang Wu , Heng Li , Cuiying Gao , Wei Yuan* , Xiapu Luo: Trace-agnostic and Adversarial Training-resilient Website Fingerprinting Defense. INFOCOM, 2024.
  • Cuiying Gao, Gaozhun Huang, Heng Li, Bang Wu, Yueming Wu, Wei Yuan*: A Comprehensive Study of Learning-based  Android Malware Detectors under Challenging Environments. ICSE, 2024.
  • Junzhe Cai, Shuiyan Chen, Heng Li, Beihao Xia, Zimin Mao, Wei Yuan*: HARP：Let Object Detector Undergo Hyperplasia to Counter Adversarial Patches. ACM MM, 2023.
  • Heng Li，Zhang Cheng，Bang Wu，Liheng Yuan，Cuiying Gao，Wei Yuan*，Xiapu Luo: Black-box  Adversarial Example Attack towards FCG Based Android Malware Detection under Incomplete Feature Information. USENIX Security, 2023.
  • Liheng Yuan, Heng Li, Beihao Xia, Cuiying Gao, Mingyue Liu, Wei Yuan*, Xinge You: Recent Advances in Concept Drift Adaptation Methods for Deep Learning. IJCAI, 2022.
  • Kaifa Zhao, Hao Zhou, Yulin Zhu, Xian Zhan, Kai Zhou, Jianfeng Li, Le Yu, Wei Yuan, Xiapu Luo: Structural Attack against Graph Based Android Malware Detection. CCS, 2021.
  • Chengxiang Lei, Sichao Fu, Yuetian Wang, Wenhao Qiu, Yachen Hu, Qinmu Peng, Xinge You: Self-Supervised Guided Hypergraph Feature Propagation for Semi-Supervised Classification with Missing Node Features. ICASSP, 2023.
  • Shiming Chen, Ziming Hong, Guo-Sen Xie, Wenhan Yang, Qinmu Peng, Kai Wang, Jian Zhao, Xinge You: Mutually Semantic Distillation Network for Zero-Shot Learning. CVPR, 2022.
  • Shiming Chen*, Ziming Hong*, Yang Liu, Guo-Sen Xie, Baigui Sun, Hao Li, Qinmu Peng, Ke Lu, Xinge You: Attribute-guided Transformer for Zero-Shot Learning. AAAI, 2022.
  • Shiming Chen, Guo-Sen Xie, Qinmu Peng, Yang Liu, Baigui Sun, Hao Li, Xinge You, Ling Shao: Hierarchical Semantic-Visual Adaptation for Zero-Shot Learning. NeurIPS, 2021.
  • Shiming Chen, Wenjie Wang, Beihao Xia, Qinmu Peng, Xinge You, Feng Zheng, Ling Shao: Feature Refinement for Generalized Zero-shot Learning. ICCV, 2021.
  • Ziming Hong*, Shiming Chen*#, Guo-Sen Xie, Wenhan Yang, Jian Zhao, Yuanjie Shao, Qinmu Peng, Xinge You: Semantic Compression Embedding for Generative Zero-Shot Learning. IJCAI, 2022.
  • Shiming Chen, Wenjin Hou, Ziming Hong, Xiaohan Ding, Yibing Song, Xinge You, Tongliang Liu, Kun Zhang: Evolving Semantic Prototype Improves Generative Zero-Shot Learning. 40th ICML, 2023.
  • Heng Li，Zhang Cheng，Bang Wu，Liheng Yuan，Cuiying Gao，Wei Yuan，Xiapu Luo: Black-box Adversarial Example Attack towards FCG Based Android Malware Detection under Incomplete Feature Information. USENIX Sec, 2023.
  • Yuhang Wu, Tengteng Huang, Haotian Yao, Chi Zhang, Yuanjie Shao, Chuchu Han, Changxin Gao, Nong Sang: Multi-Centroid Representation Network for Domain Adaptive Person Re-ID. AAAI, 2022.

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